Spatial heterogeneity and air pollution removal by an urban forest

Estimates of air pollution removal by the urban forest have mostly been based on mean values of forest structure variables for an entire city. However, the urban forest is not uniformly distributed across a city because of biophysical and social factors. Consequently, air pollution removal function...

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Autores:
Tipo de recurso:
Fecha de publicación:
2009
Institución:
Universidad del Rosario
Repositorio:
Repositorio EdocUR - U. Rosario
Idioma:
eng
OAI Identifier:
oai:repository.urosario.edu.co:10336/26980
Acceso en línea:
https://doi.org/10.1016/j.landurbplan.2008.10.021
https://repository.urosario.edu.co/handle/10336/26980
Palabra clave:
Air quality
ScaleHeterogeneity
Santiago de Chile
Urban forest structure
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Restringido (Acceso a grupos específicos)
id EDOCUR2_236eff3dbedcb910379a48094d4e7771
oai_identifier_str oai:repository.urosario.edu.co:10336/26980
network_acronym_str EDOCUR2
network_name_str Repositorio EdocUR - U. Rosario
repository_id_str
spelling 2d7c8bf2-67a1-46d2-a8e0-b82768ad86d9-1bd720f66-45cc-4f25-9d45-9ad014238c28-12020-08-19T14:40:40Z2020-08-19T14:40:40Z2009-04-30Estimates of air pollution removal by the urban forest have mostly been based on mean values of forest structure variables for an entire city. However, the urban forest is not uniformly distributed across a city because of biophysical and social factors. Consequently, air pollution removal function by urban vegetation should vary because of this spatial heterogeneity. This paper presents a different approach to evaluate how the spatial heterogeneity of the urban forest influences air pollution removal at the socioeconomic subregion scale. Air pollution removal for July 1997 to June 1998 and July 2000 to June 2001 were estimated using measured urban forest structure data from three socioeconomic subregions in Santiago, Chile. Dry deposition was estimated using hourly climate, mixing height, and pollutant concentration data. Pollution removal rates among the three socioeconomic subregions were different because of heterogeneous urban forest structure and pollution concentrations. Air pollution removal per square meter of tree cover was greatest in the low socioeconomic subregion. Pollution removal during 1997–1998 was different from 2000 to 2001 due to pollution concentration differences. Seasonal air quality improvement also differed among the subregions. Results can be used to design management alternatives at finer administrative scales such as districts and neighborhoods that maximize the pollution removal rates by the urban forest in a subregion. Policies that affect the functionality of urban forest structure must consider spatial heterogeneity and scale when making region-wide recommendations. Similarly, when modeling the functionality of the urban forest, models must capture this spatial heterogeneity for inter-city comparisons.application/pdfhttps://doi.org/10.1016/j.landurbplan.2008.10.021ISSN: 0169-2046https://repository.urosario.edu.co/handle/10336/26980engElsevier110No. 3-4102Landscape and Urban PlanningVol. 90Landscape and Urban Planning, ISSN: 0169-2046, Vol.90, No.3-4 (April, 2009); pp. 102-110https://www.sciencedirect.com/science/article/pii/S0169204608001801Restringido (Acceso a grupos específicos)http://purl.org/coar/access_right/c_16ecLandscape and Urban Planninginstname:Universidad del Rosarioreponame:Repositorio Institucional EdocURAir qualityScaleHeterogeneitySantiago de ChileUrban forest structureSpatial heterogeneity and air pollution removal by an urban forestHeterogeneidad espacial y eliminación de la contaminación del aire por un bosque urbanoarticleArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501Escobedo, Francisco J.Nowak, David J.10336/26980oai:repository.urosario.edu.co:10336/269802021-06-03 00:50:03.454https://repository.urosario.edu.coRepositorio institucional EdocURedocur@urosario.edu.co
dc.title.spa.fl_str_mv Spatial heterogeneity and air pollution removal by an urban forest
dc.title.TranslatedTitle.spa.fl_str_mv Heterogeneidad espacial y eliminación de la contaminación del aire por un bosque urbano
title Spatial heterogeneity and air pollution removal by an urban forest
spellingShingle Spatial heterogeneity and air pollution removal by an urban forest
Air quality
ScaleHeterogeneity
Santiago de Chile
Urban forest structure
title_short Spatial heterogeneity and air pollution removal by an urban forest
title_full Spatial heterogeneity and air pollution removal by an urban forest
title_fullStr Spatial heterogeneity and air pollution removal by an urban forest
title_full_unstemmed Spatial heterogeneity and air pollution removal by an urban forest
title_sort Spatial heterogeneity and air pollution removal by an urban forest
dc.subject.keyword.spa.fl_str_mv Air quality
ScaleHeterogeneity
Santiago de Chile
Urban forest structure
topic Air quality
ScaleHeterogeneity
Santiago de Chile
Urban forest structure
description Estimates of air pollution removal by the urban forest have mostly been based on mean values of forest structure variables for an entire city. However, the urban forest is not uniformly distributed across a city because of biophysical and social factors. Consequently, air pollution removal function by urban vegetation should vary because of this spatial heterogeneity. This paper presents a different approach to evaluate how the spatial heterogeneity of the urban forest influences air pollution removal at the socioeconomic subregion scale. Air pollution removal for July 1997 to June 1998 and July 2000 to June 2001 were estimated using measured urban forest structure data from three socioeconomic subregions in Santiago, Chile. Dry deposition was estimated using hourly climate, mixing height, and pollutant concentration data. Pollution removal rates among the three socioeconomic subregions were different because of heterogeneous urban forest structure and pollution concentrations. Air pollution removal per square meter of tree cover was greatest in the low socioeconomic subregion. Pollution removal during 1997–1998 was different from 2000 to 2001 due to pollution concentration differences. Seasonal air quality improvement also differed among the subregions. Results can be used to design management alternatives at finer administrative scales such as districts and neighborhoods that maximize the pollution removal rates by the urban forest in a subregion. Policies that affect the functionality of urban forest structure must consider spatial heterogeneity and scale when making region-wide recommendations. Similarly, when modeling the functionality of the urban forest, models must capture this spatial heterogeneity for inter-city comparisons.
publishDate 2009
dc.date.created.spa.fl_str_mv 2009-04-30
dc.date.accessioned.none.fl_str_mv 2020-08-19T14:40:40Z
dc.date.available.none.fl_str_mv 2020-08-19T14:40:40Z
dc.type.eng.fl_str_mv article
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_6501
dc.type.spa.spa.fl_str_mv Artículo
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1016/j.landurbplan.2008.10.021
dc.identifier.issn.none.fl_str_mv ISSN: 0169-2046
dc.identifier.uri.none.fl_str_mv https://repository.urosario.edu.co/handle/10336/26980
url https://doi.org/10.1016/j.landurbplan.2008.10.021
https://repository.urosario.edu.co/handle/10336/26980
identifier_str_mv ISSN: 0169-2046
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.citationEndPage.none.fl_str_mv 110
dc.relation.citationIssue.none.fl_str_mv No. 3-4
dc.relation.citationStartPage.none.fl_str_mv 102
dc.relation.citationTitle.none.fl_str_mv Landscape and Urban Planning
dc.relation.citationVolume.none.fl_str_mv Vol. 90
dc.relation.ispartof.spa.fl_str_mv Landscape and Urban Planning, ISSN: 0169-2046, Vol.90, No.3-4 (April, 2009); pp. 102-110
dc.relation.uri.spa.fl_str_mv https://www.sciencedirect.com/science/article/pii/S0169204608001801
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_16ec
dc.rights.acceso.spa.fl_str_mv Restringido (Acceso a grupos específicos)
rights_invalid_str_mv Restringido (Acceso a grupos específicos)
http://purl.org/coar/access_right/c_16ec
dc.format.mimetype.none.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Elsevier
dc.source.spa.fl_str_mv Landscape and Urban Planning
institution Universidad del Rosario
dc.source.instname.none.fl_str_mv instname:Universidad del Rosario
dc.source.reponame.none.fl_str_mv reponame:Repositorio Institucional EdocUR
repository.name.fl_str_mv Repositorio institucional EdocUR
repository.mail.fl_str_mv edocur@urosario.edu.co
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